Programs
B. Tech. Robotics and Artificial Intelligence
B. Tech. Robotics and Artificial Intelligence
The B.Tech. in Computer Science & Engineering with a Specialisation in Artificial Intelligence & Robotics is an undergraduate programme offered at S-VYASA Global City Campus in academic collaboration with the Incanto School of Robotics. The programme integrates the intellectual rigour of computer science with the full spectrum of contemporary artificial intelligence and intelligent robotics.
Students develop strong expertise in the computational foundations of intelligent systems, encompassing algorithms, data structures, machine learning, neural computation, computer vision, natural language processing, and autonomous decision-making. They further acquire advanced proficiency in deploying intelligent capabilities within physical systems through robotics, embedded computing, and intelligent automation technologies.
The programme is offered under the School of Engineering and Technology, where students gain a strong foundation in artificial intelligence, robotics, and intelligent automation through industry-oriented training and hands-on technical exposure.
Eligibility
- Passed the 10+2 (or equivalent) examination from a recognized Board with Physics and Mathematics as compulsory subjects, along with one of the following subjects: Chemistry, Computer Science, Electronics, Information Technology, Informatics Practices, Biology, Biotechnology, Technical Vocational Subject, Engineering Graphics, Business Studies, or Entrepreneurship, as prescribed under the AICTE Approval Process Handbook 2024–2027.
- Candidates must have secured a minimum of 45% aggregate marks (40% for reserved categories) in the qualifying subjects taken together. Candidates who have passed the D.Voc. stream in the same or allied sector are also eligible.
Program Highlights
Industry-Aligned Curriculum:
Developed in collaboration with Incanto School of Robotics and guided by emerging industry requirements.
Comprehensive AI Ecosystem:
Gain proficiency across Machine Learning, Deep Learning, Computer Vision, NLP, and Reinforcement Learning.
Robotics & Autonomous Systems:
Explore intelligent robotics, automation technologies, embedded systems, and cyber-physical applications.
Strong Computer Science Foundation
Master algorithms, software engineering, databases, operating systems, and computer networks.
Advanced Laboratory Infrastructure
Hands-on exposure to AI, Robotics, IoT, Embedded Systems, Computer Vision, and NLP laboratories.
Industry-Grade Robotics Platforms:
Learn using professional robotic systems and automation technologies employed across industries.
Experiential Learning Framework
Build real-world projects, intelligent applications, and autonomous systems from the early semesters.
Research & Innovation Orientation
Develop capabilities for advanced research, product innovation, and emerging deep-tech domains.
Internship & Capstone Experience
Work on industry-relevant projects through internships and final-year capstone engagements.
Future-Ready Skill Development
Acquire competencies aligned with next-generation careers in AI, Robotics, Automation, and Intelligent Systems.
Career Outcome
Artificial Intelligence Engineer
Design intelligent systems for learning, reasoning, and decision-making.
Machine Learning Engineer
Build and deploy machine learning models for predictive systems.
Computer Vision Engineer
Develop visual systems for recognition, tracking, and analysis.
NLP & LLM Engineer
Create language models and conversational AI applications.
Robotics Software Engineer
Develop software enabling autonomous robotic perception and action.
Deep Learning Engineer
Design neural networks for complex AI-driven applications.
Autonomous Systems Engineer
Engineer autonomous systems for vehicles, drones, and robotics.
Data Scientist
Analyze data to generate insights and predictive models.
MLOps Engineer
Build and manage scalable machine learning deployment pipelines.
Research Scientist
Conduct research in AI, robotics, and emerging technologies.
Begin your journey into the future of intelligent automation and robotics with the B.Tech in Computer Science & Engineering – Artificial Intelligence & Robotics at S-VYASA University. The programme combines strong engineering fundamentals with hands-on technical learning to prepare students for impactful careers in AI, robotics, and emerging technologies.
FAQ's
Candidates must have passed 10+2 or an equivalent examination from a recognised board, with Physics and Mathematics as compulsory subjects. They must have secured at least 45% aggregate marks, or 40% for candidates belonging to reserved categories.
Yes. It is a suitable choice for students interested in programming, artificial intelligence, robotics and autonomous systems. The programme combines computer science fundamentals with hands-on learning in machine learning, computer vision, embedded systems and intelligent automation.
Salary varies according to the job role, technical skills, projects, employer, location and industry experience. Graduates can begin in entry-level roles in AI, machine learning, robotics software, automation or data science, with greater earning potential as they develop specialised expertise.
Robotics and AI engineers can work across autonomous systems, manufacturing, healthcare, automotive technology, drones, logistics and intelligent automation. Career options include AI Engineer, Machine Learning Engineer, Robotics Software Engineer, Computer Vision Engineer, Autonomous Systems Engineer and Data Scientist.
Eligible candidates can apply through the official S-VYASA admissions portal. Applicants must complete the application form, submit the required academic documents and follow the selection and admission process prescribed by the University.
The salary package depends on the recruiter, job profile, student performance, technical skills and prevailing market conditions. Applicants should contact the S-VYASA admissions or placement team for the latest official programme-specific placement and salary information.
